Hello, dear friends! I’m Avishek Giri, and I’m thrilled to welcome you all to this blog. If you’re dreaming of building a data engineering career with one of the world’s most innovative and respected tech giants, then Amazon Off Campus Drive 2025 might just be your golden chance. Amazon has officially announced hiring for the Data Engineer I position as part of its India recruitment drive, offering freshers and early-career professionals a major opportunity to work on exciting projects powered by massive data.
This opening is based at Amazon Development Center India (ADCI) HYD 13 SEZ in Hyderabad, and is perfect for those who enjoy solving complex data problems, building scalable systems, and helping create insights that power real-world decisions.
Whether you’re a fresher with strong knowledge in data systems or an experienced professional looking to grow your skills in cloud and analytics, this role is worth your attention.
Amazon Recruitment 2025: Role & Eligibility Overview
| Category | Details |
|---|---|
| Company Name | Amazon |
| Job Role | Data Engineer I |
| Job ID | 3126577 |
| Qualification | Technical degree (data-related preferred) |
| Experience Required | 1+ years or strong fresher profile |
| Skills Required | SQL, ETL/ELT, Python, Data Modeling, AWS |
| Location | Hyderabad – ADCI HYD 13 SEZ |
| Salary | Competitive industry-standard at Amazon |
What Is the Data Engineer I Role at Amazon?
The role of a Data Engineer I at Amazon is designed for enthusiasts who love data. As a part of Amazon’s fast-paced data team, your work will power insights, influence big decisions, and support business-critical analytics across various Amazon platforms.
This position is not just about data it’s about building systems that can scale to support millions of users, creating smarter business workflows, and enabling machine learning initiatives.
This is not a typical desk job where you just write scripts. As an Amazon Data Engineer, your work will sit at the intersection of data science, software engineering, and business intelligence, giving you the kind of real-world experience that most companies can only promise.
What Will You Be Doing at Amazon?
The role includes critical tasks that keep Amazon’s data systems secure, scalable, and ready for action. Your daily work will focus on building reliable data structures, creating efficient ETL systems, and optimizing data that supports everything from customer insights to machine learning models.
Leading Data Engineering Projects
You’ll develop the backbone of Amazon’s analytics ecosystem. From designing the architecture to implementing code, you’ll have ownership over building advanced analytics solutions at scale.
Building Scalable Data Structures
Amazon handles massive amounts of data every second. Your job is to build data models and systems that stay fast, accurate, and efficient even as the data grows exponentially.
Implementing ETL and ELT Pipelines
You will build and maintain critical data pipelines using tools like AWS Glue, Redshift, EMR, and more. Ensuring clean and reliable data throughout the pipeline will be part of your everyday responsibilities.
Team Collaboration
Amazon believes in teamwork. You’ll work closely with data scientists, analysts, product managers, and backend engineers to solve problems and continuously improve data workflows.
Data Quality and Optimization
You’ll use monitoring systems to ensure that pipelines are error-free, queries are optimized, and the infrastructure stays cost-effective.
Skills You Need to Apply for This Role
Minimum Requirements
Amazon expects candidates to have:
- At least 1 year of hands-on experience in data engineering (strong freshers with good projects are also considered).
- High-level expertise in SQL and query writing.
- Good understanding of data modeling, relational databases, and warehousing concepts.
- Experience with ETL development and data pipeline creation.
- Skill in scripting languages such as Python, KornShell, or similar.
Preferred (Bonus) Skills
Amazon prefers candidates who have exposure to:
- Big Data and AWS Tools like EMR, Redshift, S3, Hadoop, Athena, or Spark.
- ETL platforms like Informatica, Datastage, SSIS, or Airflow.
- Cloud experience (AWS preferred, but Azure/GCP knowledge also adds value).
- Any experience with machine learning or analytical systems is a great plus.
Don’t worry if you don’t have all the preferred skills—Amazon focuses heavily on potential and your ability to learn.
Why Should You Join Amazon?
Joining Amazon means joining a company where you’re not just an employee—you’re part of something bigger. Here’s what makes it truly special:
Work on Real Data at Massive Scale
You won’t just be reading data from excel sheets. You’ll be handling terabytes and petabytes of data used by hundreds of business units and millions of users across the world.
Learn from the Best
Amazon has brilliant teams working on everything from AI-based content systems to supply chain optimization. You’ll get hands-on experience with cutting-edge tech and learn from experts in cloud, analytics, and data infrastructure.
High-Growth Opportunities
Once you’re in, career growth is fast. Amazon encourages internal mobility, upskilling programs, and leadership opportunities based on merit and performance.
Inclusive Workplace
Amazon prides itself on a diverse, supportive, and employee-first culture. It offers equal opportunity for all candidates and both personal and professional support for differently-abled applicants.
Salary & Benefits
While Amazon hasn’t officially listed salary numbers for this role in their job post, the package offered is known to be very competitive and includes:
- Basic salary
- Remote or in-office flexibility options (role-dependent)
- Performance-based bonuses
- Health benefits
- Stock options / RSUs (depending on job level)
A Data Engineer I can expect a salary upwards of ₹15–25 LPA, depending on skill, interview performance, and negotiation.
Hiring Location
This role is based in Amazon Development Center India Pvt. Ltd., Hyderabad (ADCI HYD 13 SEZ). This is one of Amazon’s largest tech centers, well known for its state-of-the-art facilities and seamless connectivity.
Hyderabad offers a vibrant tech culture, good lifestyle, and efficient metro and airport access for daily commuting or relocation.
How to Apply
Follow these steps to apply for Amazon Off Campus Hiring 2025:
- Visit the Amazon Careers Portal.
- Search with Job ID: 3126577 or the job title “Data Engineer I.”
- Create your account, or log in if you already have one.
- Fill up your application form with accurate personal & academic details.
- Upload your latest resume and other required documents.
- Submit and keep checking email/SMS updates from Amazon.
Candidates with disabilities can also request support for interview accommodations through Amazon’s disability inclusion program.
About Amazon
Amazon is arguably one of the most influential tech companies in the world. Known for transforming retail through e-commerce, they’ve also redefined how data is used in cloud computing, artificial intelligence, and enterprise software.
With brands like Prime Video, AWS, Kindle, Alexa, and more, Amazon uses data at the heart of everything and the Data Engineering team plays a central role in that mission.
From smart recommendations to high-speed logistics data is everywhere at Amazon, and as a Data Engineer, you’ll get access to this universe.
Conclusion
If you’re planning to build a career in data engineering and want to start with a global company where your work makes a real impact, then Amazon Off Campus Drive 2025 is a golden opportunity. This role is perfect for freshers or early professionals who are passionate about data and want to grow in a company that believes in innovation, ownership, and delivering results.
Amazon isn’t just offering a job it’s offering a platform where you can learn, grow, and transform. Apply now and take the next step in your dream career.
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